Surveillance

Hip surveillance in children with cerebral palsy in the UK : history, challenges, and future directions.

Cerebral palsy (CP) is associated with musculoskeletal complications in children, notably hip migrat...

Identifying real time surveillance indicators to estimate COVID-19 hospital admissions in Colorado during and after the public health emergency.

Questions remain about how best to focus surveillance efforts for COVID-19 and other emerging respir...

Mapping global risk of bat and rodent borne disease outbreaks to anticipate emerging threats.

Future epidemics and/or pandemics may likely arise from zoonotic viruses with bat- and rodent-borne ...

Risk factors and prediction of distant metastasis (DM) of colon adenocarcinoma: a logistic regression and machine learning study based on surveillance, epidemiology, and end results (SEER) database.

Transforming heart transplantation care with multi-omics insights.

Heart transplantation (HTx) remains the definitive treatment for patients with end-stage heart disea...

Taking the Guess Work Out of Endoscopic Polyp Measurement: From Traditional Methods to AI.

Colonoscopy is a crucial tool for evaluating lower gastrointestinal disease, monitoring high-risk pa...

Journal of Global Health's Guidelines for Reporting Analyses of Big Data Repositories Open to the Public (GRABDROP): preventing 'paper mills', duplicate publications, misuse of statistical inference, and inappropriate use of artificial intelligence.

In recent years, global accessibility to large 'big data' repositories that enable 'open research' -...

Recent topics on thyroid cytopathology: reporting systems and ancillary studies.

As fine-needle aspiration techniques and diagnostic methodologies for thyroid nodules have continued...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

Leveraging machine learning for monitoring afforestation in mining areas: evaluating Tata Steel's restoration efforts in Noamundi, India.

Mining activities have long been associated with significant environmental impacts, including defore...

Computer-vision research powers surveillance technology.

An increasing number of scholars, policymakers and grassroots communities argue that artificial inte...

Surveillance and Surgical Salvage Treatment for Endoscopically Removed T1 Colorectal Cancers.

Endoscopic submucosal dissection (ESD) enables en-bloc resection of large lesions more than 20 mm in...

Applying language models for suicide prevention: evaluating news article adherence to WHO reporting guidelines.

The responsible reporting of suicide in media is crucial for public health, as irresponsible coverag...

Advancing AMR Surveillance: Confluence of One Health and Big Data Integration : Converging One Health and Big Data for AMR.

Antibiotic resistance poses a critical global health threat, demanding robust surveillance systems t...

Factor Analysis and Prediction of Disease Risk Based on Large Ensembles of Models: Application to Virus Yellows in Sugar Beet.

Identifying disease risk factors, characterizing their effects, and forecasting disease risk across ...

Prediction of Antibiotic Resistance Phenotypes and Minimum Inhibitory Concentrations in Using Machine Learning Analysis of Its Pan-Genome and Pan-Resistome Features.

Traditional experimental methods for determining antibiotic resistance phenotypes (ARPs) and minimum...

Rapid prediction of antibiotic resistance in complex using whole-genome and metagenomic sequencing.

Clinical management and surveillance of the complex (ECC) face significant challenges due to inaccu...

Large Language Models and the Analyses of Adherence to Reporting Guidelines in Systematic Reviews and Overviews of Reviews (PRISMA 2020 and PRIOR).

In the context of Evidence-Based Practice (EBP), Systematic Reviews (SRs), Meta-Analyses (MAs) and o...

Clinical decision tree for optimising endoscopic assessment of signet ring cell carcinoma in hereditary diffuse gastric cancer surveillance.

Background and study aims Prophylactic total gastrectomy (PTG) is the definitive treatment for hered...

Harmful Algae Forecasting through an Ocean Data Justice Lens.

Forecasting systems for harmful algal blooms (HABs) are becoming more common, as HAB monitoring is i...

Use of deep learning-based NLP models for full-text data elements extraction for systematic literature review tasks.

Systematic literature review (SLR) is an important tool for Health Economics and Outcomes Research (...